DocumentCode :
1684530
Title :
Generalized Schur Decomposition-Based Two-Way Relaying for Wireless MIMO Systems
Author :
Yang, Hyun Jong ; Chun, Joohwan
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
Deploying relay stations improves the signal-to- interference and noise ratio (SINR) by making a Pico cell environment. Nonetheless, a critical problem associated with deploying RS is additional resource consumption, which reduces the actual transmission rate. Two-way relaying schemes that use physical layer network coding (PNC) reduce the additional resource consumption and thereby improve the transmission rate. In this paper we propose a novel two-way relaying scheme for coded multiple-input multiple-output (MIMO) systems. The proposed scheme involves generalized Schur decomposition-based preceding and successive interference cancellation (SIC). By using the generalized Schur decomposition, orthogonal preceding matrices that minimize the transmit power can be applied, resulting in an improved transmission rate. We have evaluated the proposed system by comparing its transmission rate with that of several conventional schemes.
Keywords :
MIMO communication; channel coding; interference suppression; matrix algebra; mobile radio; radio networks; Pico cell environment; coded multiple-input multiple-output systems; generalized Schur decomposition-based preceding; mobile station; orthogonal preceding matrices; physical layer network coding; relay stations; resource consumption; signal-to-interference and noise ratio; successive interference cancellation; transmission rate; two-way relaying scheme; wireless MIMO systems; Interference cancellation; MIMO; Matrix decomposition; Network coding; Physical layer; Power system relaying; Relays; Signal to noise ratio; Silicon carbide; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.763
Filename :
4698538
Link To Document :
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